Multifractal computation for nuclear classification and hepatocellular carcinoma grading

Chamidu Atupelage, Hiroshi Nagahashi, Masahiro Yamaguchi, Fumikazu Kimura, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Hepatocellular carcinoma (HCC) is graded mainly based on the characteristics of liver cell nuclei. This paper proposes a textural feature descriptor and a novel computational method for classifying liver cell nuclei and grading the HCC histological images. The proposed textural feature descriptor observes local and spatial characteristics of the texture patterns by using multifractal computation. The textural features are utilized for nuclear segmentation, fiber region detection, and liver cell nuclei classification. Four categories of nuclear features are computed such as texture, geometry, spatial distribution, and surrounding texture, for HCC classification. Significance of liver cell nuclei classification method is evaluated by classifying non-neoplastic and tumor tissues. Furthermore, characteristics of the liver cell nuclei were utilized for grading a set of HCC images into four classes and obtained 97.77% classification accuracy.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013
Pages415-420
Number of pages6
DOIs
Publication statusPublished - 2013
Event10th IASTED International Conference on Biomedical Engineering, BioMed 2013 - Innsbruck, Austria
Duration: 2013 Feb 132013 Feb 15

Publication series

NameProceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013

Other

Other10th IASTED International Conference on Biomedical Engineering, BioMed 2013
CountryAustria
CityInnsbruck
Period13/2/1313/2/15

Keywords

  • Cancer grading
  • Feature descriptor
  • HCC histological images
  • Multifractal computation
  • Multifractal measures

ASJC Scopus subject areas

  • Biomedical Engineering

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